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Stochastic modelling necessitates an interpretation of noise. In this paper, we describe the loss of deterministically stable behaviour in a fundamental fluid mechanics problem, conditional to whether noise is introduced in the sense of…

Dynamical Systems · Mathematics 2025-03-17 Theo Diamantakis , James Woodfield

Rough path analysis can be developed using the concept of controlled paths, and with respect to a topology in which L\'evy's area plays a role. For vectors of irregular paths we investigate the relationship between the property of being…

Probability · Mathematics 2017-04-26 Peter Imkeller , David J. Prömel

Large classes of multi-dimensional Gaussian processes can be enhanced with stochastic Levy area(s). In a previous paper, we gave sufficient and essentially necessary conditions, only involving variational properties of the covariance.…

Probability · Mathematics 2007-11-06 Peter Friz , Nicolas Victoir

This paper is mainly concerned with a kind of fractional stochastic evolution equations driven by L\'evy noise in a bounded domain. We first state the well-posedness of the problem via iterative approximations and energy estimates. Then,…

Probability · Mathematics 2025-01-28 Jiaohui Xu , Tomás Caraballo , José Valero

Uncertainties are abundant in complex systems. Mathematical models for these systems thus contain random effects or noises. The models are often in the form of stochastic differential equations, with some parameters to be determined by…

Numerical Analysis · Mathematics 2015-03-13 Jiarui Yang , Jinqiao Duan

Full orbit dynamics of charged particles in a $3$-dimensional helical magnetic field in the presence of $\alpha$-stable L\'evy electrostatic fluctuations and linear friction modeling collisional Coulomb drag is studied via Monte Carlo…

Plasma Physics · Physics 2016-10-12 Sara Moradi , Diego del-Castillo-Negrete , Johan Anderson

We give meaning to differential equations with a rough path term and a Brownian noise term as driving signals. Such differential equations as well as the question of regularity of the solution map arise naturally and we discuss two…

Probability · Mathematics 2014-01-03 Joscha Diehl , Harald Oberhauser , Sebastian Riedel

In this paper, we introduce a new framework for parametrization schemes (PS) in GFD. Using the theory of controlled rough paths, we derive a class of rough geophysical fluid dynamics (RGFD) models as critical points of rough action…

Analysis of PDEs · Mathematics 2022-01-03 Dan Crisan , Darryl D. Holm , James-Michael Leahy , Torstein Nilssen

We study the stochastic transport equation with globally $\beta$-H\"older continuous and bounded vector field driven by a non-degenerate pure-jump L\'evy noise of $\alpha$-stable type. Whereas the deterministic transport equation may lack…

Probability · Mathematics 2025-12-22 Zdzisław Brzeźniak , Enrico Priola , Jianliang Zhai , Jiahui Zhu

Using the rigid body as an example, we illustrate some features of stochastic geometric mechanics. These features include: i) a geometric variational motivation for the noise structure involving Lie-Poisson brackets and momentum maps, ii)…

Dynamical Systems · Mathematics 2016-06-22 Alexis Arnaudon , Alex L. De Castro , Darryl D. Holm

A careful look at rough path topology applied to Brownian motion reveals new possible properties of the well-known L\'evy area, in particular the presence of an intrinsic drift of this area. Using renormalization limit of Markov chains on…

Probability · Mathematics 2017-09-14 Olga Lopusanschi , Damien Simon

We consider rough paths with jumps. In particular, the analogue of Lyons' extension theorem and rough integration are established in a jump setting, offering a pathwise view on stochastic integration against cadlag processes. A class of…

Probability · Mathematics 2014-12-01 Peter Friz , Atul Shekhar

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental…

Statistical Mechanics · Physics 2015-06-11 M. Zaba , P. Garbaczewski , V. Stephanovich

In this paper, we study some aspects on random analysis on the L\'eevy stochastic processes with margins following generalized hyperbolic distributions generated by gamma laws. In particular we study the boundedness of its total variations…

Probability · Mathematics 2022-12-14 Nafy Ngom , Aladji Babacar Niang , Soumaila Dembele , Gane Samb Lo

This paper considers stochastic population dynamics driven by Levy noise. The contributions of this paper lie in that (a) Using Khasminskii-Mao theorem, we show that the stochastic differential equation associated with the model has a…

Probability · Mathematics 2011-05-09 Jianhai Bao , Chenggui Yuan

We study sums of independent and identically distributed random velocities in special relativity. We show that the resulting one-dimensional velocity distributions are not only stable under relativistic velocity addition but define a…

Statistical Mechanics · Physics 2025-12-03 Lucas G. B. de Souza , M. G. E. da Luz , E. P. Raposo , Evaldo M. F. Curado , G. M. Viswanathan

In this paper, we establish a large deviation principle for stochastic differential delay equations driven by both Brownian motions and Poisson random measures. The weak convergence method plays an important role.

Probability · Mathematics 2016-11-01 Yumeng Li , Ran Wang , Nian Yao , Shuguang Zhang

This work is devoted to the investigation of the most probable transition path for stochastic dynamical systems driven by either symmetric $\alpha$-stable L\'{e}vy motion ($0<\alpha<1$) or Brownian motion. For stochastic dynamical systems…

Dynamical Systems · Mathematics 2019-04-09 Yuanfei Huang , Ying Chao , Shenglan Yuan , Jinqiao Duan

In this paper we study a one-dimensional space-discrete transport equation subject to additive Levy forcing. The explicit form of the solutions allows their analytic study. In particular we discuss the invariance of the covariance structure…

Mathematical Physics · Physics 2009-11-13 I. Pavlyukevich , I. M. Sokolov

Considering an extension of the principle of covarience to the action along a path in relativistic Lagrangian mechanics, we motivate the use of geometric -- i.e. covariant and parameter invariant -- Lagrangian functions. We then study some…

Mathematical Physics · Physics 2017-07-26 Olivier Brunet
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